Know where your graduates are.
And what they've built.
Klared continuously tracks and enriches your alumni data, roles, companies, industries, and founded startups, so your team always has an accurate, up-to-date picture of your institution's real-world impact.
| Name | Title | Company | Country | Signal | |
|---|---|---|---|---|---|
| Laura Berger | VP Engineering | Siemens | Germany | Promotion | |
| Tom Fischer | Founder & CEO | ClimaX | Germany | Series A | |
| Anika Sharma | Partner | EQT | Sweden | Board seat | |
| James Kwon | CTO | DeepMind | UK | Keynote | |
| Maria Santos | VP Product | Stripe | USA | New role | |
| Yuki Tanaka | Research Director | CERN | Switzerland | Grant won | |
| Carlos Ruiz | Director | BCG | Spain | Promotion | |
| Lina Park | Head of AI | Samsung | South Korea | Patent filed | |
| Otto Weber | Managing Director | BMW | Germany | Advisory role |
Trusted by leading institutions
How alumni landscaping works
Four steps. One always-current picture of your graduates.
Onboard
No integration required
Get started
Upload alumni list
CSV, Excel or connect via API
Just tell us your institution. Klared automatically finds and builds your alumni base, no CRM, SIS, or database connection needed.
Step 1 of 4
Just tell us your institution. Klared automatically finds and builds your alumni base, no CRM, SIS, or database connection needed.
Get started
Upload alumni list
CSV, Excel or connect via API
All data shown is illustrative. Your institution's dashboard uses real, enriched records from your own systems.
A live picture of your alumni network
Klared continuously enriches every graduate profile so your team always knows where alumni are, what they've built, and when to engage.
How Klared compares to other tools
See how Klared compares to the tools universities currently use to track alumni.
| Criterion | Dealroom |  | |
|---|---|---|---|
| Alumni coverage | Focused on spinoffs & startups | Broad but self-reported only | Full graduate base, continuously enriched |
| Data freshness | Periodic manual updates | User-driven, often outdated | Automated, near real-time |
| Non-founder alumni | Not covered | Basic profile only | Full career history and enrichment |
| Donor identification | Limited, startup focus | Not designed for this | Milestone alerts + wealth signals |
| Reporting & exports | Generic impact maps | No institutional reporting | Custom board reports on demand |
| Strategic matching | No | No | Yes, mentors, speakers, partners |
| University data integration | No | No | Yes, ingests your internal records |
| Data ownership & GDPR | Third-party platform, limited control | Data belongs to LinkedIn, not you | Your data stays yours, fully GDPR-compliant |
Frequently Asked Questions
Common questions from universities about how alumni tracking works.
No prior database or integration is required. The platform automatically identifies alumni who studied at your institution (including affiliated centers, filterable separately) by combining automated collection (public web sources and data partners) with AI-based processing and a verification layer.
Through multiple validation layers:
- Search by education, not name: Only profiles listing the institution in their academic history are returned.
- Institution name matching: Searches account for name variants and abbreviations.
- Deduplication: Duplicate or updated profiles are merged.
- Entity disambiguation: Graph-based analysis checks social connections, timeline consistency, and assigns a confidence (quality) score; anomalous profiles are flagged for review.
- Structured anchoring: Each profile is tied to a unique professional network ID, dated employment history, and specific institutions, making misidentification highly unlikely.
Two legal bases under GDPR Article 6:
- Legitimate interest (Art. 6.1.f) — for enrichment and segmentation of public profiles.
- Contractual necessity (Art. 6.1.b) — for delivering the service to the institutional client.
The legitimate interest basis is supported by a Legitimate Interest Assessment (balancing test), following the same methodology (EDPB, ex-Article 29 Working Party) used by other data-intelligence platforms. Key points from that assessment:
- Only professional data is processed (employer, role, education) — no sensitive data (political views, religion, etc.) is inferred.
- Data comes from sources (e.g., professional networking platforms) where individuals could reasonably expect indexing for professional purposes.
- Safeguards include data minimization, defined retention, transparency about sourcing, and an accessible data-erasure mechanism.
- Impact is assessed as low-to-medium, since most data is already public and the system does not drive automated decisions about individuals.
Security framework:
- Technical controls: encryption in transit and at rest, role-based access control, logging/monitoring, secure cloud infrastructure.
- Organizational policies: data protection by design (Art. 24), access/security controls (Art. 32), employee training (Art. 39).
- GDPR documentation: privacy policy (Art. 12–14), Records of Processing Activities (Art. 30), DPAs with vendors (Art. 28), documented TOMs (Art. 32).
- Governance: a Data Protection Officer (Art. 37) is in the process of being appointed.
Finally know what your alumni are building.
Stop guessing. Start tracking. See how Klared gives your alumni relations team a real-time view of every graduate's career.